Staff Product Designer

Freshworks
Full-timeBengaluru, India

📍 Job Overview

Job Title: Staff Product Designer, AI Experiences

Company: Freshworks

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Category: Product Design / UX Design

Date Posted: March 02, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

  • Design and deliver human-centered, intelligent user experiences powered by Freshworks' AI platform across diverse product suites including customer service, IT, sales, and marketing.

  • Shape the UX strategy for both AI infrastructure and specific AI use cases, ensuring seamless integration of machine learning, automation, and generative AI into daily workflows.

  • Act as a hands-on individual contributor, collaborating closely with Product, Engineering, and Data Science teams to translate complex AI concepts into intuitive, trustworthy, and accessible interfaces.

  • Drive the adoption and configuration of AI capabilities through platform-level AI tools, while also designing product-level AI features that simplify tasks and enhance decision-making.

📝 Enhancement Note: This role is specifically focused on designing the user experience for AI features and platforms within Freshworks' B2B SaaS product portfolio. The emphasis is on making AI intuitive, trustworthy, and accessible for users in enterprise settings, requiring strong technical fluency in AI/ML and a deep understanding of human-AI interaction principles.

📈 Primary Responsibilities

  • Contribute to and execute a cohesive UX strategy for AI across Freshworks platforms and products, embedding user-centered design into core AI capabilities.

  • Deliver end-to-end user experiences for platform-level AI tools, enabling internal teams and external customers to adopt and configure AI capabilities with confidence.

  • Translate complex AI concepts, such as model feedback and prompt engineering, into clear and usable interfaces in close collaboration with platform product teams.

  • Design and ship product-level AI features that simplify tasks, surface insights, and support better decision-making through conversational interfaces, generative assistants, or predictive analytics.

  • Champion user control, explainability, and inclusivity in AI experiences, utilizing rapid prototyping and testing to continuously refine user perception and interaction with AI.

  • Build strong working relationships with Product, Engineering, Data Science, and fellow UX designers to support roadmap planning and AI investment decisions.

  • Contribute design assets and thinking that enable scalable patterns and guidelines for AI experiences across Freshworks.

  • Track UX success metrics specific to AI, such as perceived value, model comprehension, intervention rates, and satisfaction, to measure design impact.

📝 Enhancement Note: The primary responsibilities highlight a dual focus on platform-level AI design (enabling configuration and adoption) and product-level AI feature design (enhancing user workflows). The role requires a strategic mindset to contribute to the overall AI UX vision and a hands-on approach to execution, including prototyping, testing, and delivering high-quality interfaces.

🎓 Skills & Qualifications

Education:

Experience:

  • 7+ years of experience in product design, with a strong preference for B2B SaaS or enterprise software environments.

Required Skills:

  • Product Design: Proven ability to deliver end-to-end user experiences for complex software products.

  • AI/ML Fundamentals: Solid understanding of AI/ML principles, including possibilities and limitations, to effectively partner with engineering and data science.

  • Human-Centered Design: Expertise in creating intuitive, user-friendly interfaces that address user needs and workflows.

  • Collaboration & Influence: Proven ability to work effectively across Product, Engineering, and Design teams, and communicate design decisions clearly to stakeholders at various levels.

  • Systems Thinking: Ability to understand and design for complex product ecosystems and how AI integrates within them.

Preferred Skills:

  • AI Design Strategy: Experience contributing to and executing a clear vision and principles for AI design.

  • Ethical AI Frameworks: Practical application of guidelines for responsible and trustworthy AI in design.

  • Conversational Design (CUI): Proficiency in designing dialogue flows, personas, and interaction models for chatbots and assistants.

  • Generative AI & Prompt Design: Experience designing interfaces that facilitate effective co-creation with generative models.

  • Prototyping for AI: Ability to prototype and test experiences that simulate AI behavior and responsiveness.

  • User Research for AI: Skill in uncovering user mental models and needs related to intelligent systems.

  • Innovation Management: Experience participating in rapid experimentation and learning within evolving domains.

  • Ambiguity Tolerance: Comfort operating in fast-evolving spaces where solutions are not always clear-cut.

📝 Enhancement Note: The requirements emphasize a blend of core product design skills with specialized expertise in AI. The need for both platform and product-level AI design experience, coupled with a strong understanding of ML fundamentals and ethical AI practices, distinguishes this role. The portfolio requirement is critical for demonstrating practical application of these skills in AI product development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • AI Product Case Studies: Showcase 2-3 in-depth case studies demonstrating your experience designing and shipping AI-powered products (e.g., LLM applications, generative AI features, conversational bots, predictive analytics). Focus on the problem, your design process, key decisions, and measurable outcomes.

  • User-Centered Design Process: Clearly articulate your design process, highlighting how you incorporate user research, ideation, prototyping, and testing, particularly in the context of AI interactions.

  • Platform vs. Product Design: Include examples that illustrate your ability to design for both foundational AI platforms (e.g., configuration interfaces, feedback mechanisms) and end-user product features leveraging AI.

  • Impact & Metrics: Quantify the impact of your designs whenever possible, using metrics related to user adoption, efficiency gains, task completion rates, user satisfaction with AI features, or reduction in support interventions.

Process Documentation:

  • AI UX Strategy: Demonstrate how you would contribute to or develop a UX strategy for AI, outlining principles for transparency, explainability, user control, and responsible AI.

  • Design for Complexity: Illustrate your approach to translating complex AI concepts (e.g., model configuration, prompt engineering, AI output interpretation) into simple, intuitive user interfaces.

  • Prototyping & Testing: Provide examples of how you prototype and test AI-driven interactions, including methods for simulating AI behavior and gathering user feedback on AI performance and trustworthiness.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards showcasing practical experience with AI products. Candidates should be prepared to present detailed case studies that not only demonstrate design skills but also their understanding of AI's complexities and their ability to drive impactful user experiences within an enterprise SaaS context.

💵 Compensation & Benefits

Salary Range:

Benefits:

  • Comprehensive health insurance coverage (medical, dental, vision).

  • Generous paid time off (PTO), including vacation, sick leave, and public holidays.

  • Retirement savings plan or provident fund contributions.

  • Opportunities for professional development, including training, conferences, and certifications.

  • Employee stock options or grants, depending on the role and company policy.

  • Wellness programs and initiatives to support employee well-being.

Working Hours:

  • Standard full-time work week, likely around 40 hours. While the role is on-site, Freshworks may offer some flexibility in daily start and end times, subject to team coordination and business needs.

📝 Enhancement Note: Salary estimation is based on general market data for senior design roles in Bengaluru. Specific benefits will be detailed by Freshworks during the hiring process. The on-site nature of the role implies standard office hours, with potential for some flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software (SaaS), Customer Experience (CX), Employee Experience (EX), Artificial Intelligence

Company Size: Freshworks is a significant player in the SaaS market, employing over 4,500 people globally, indicating a medium-to-large enterprise structure. This size suggests established processes but also opportunities for impact within specific teams.

Founded: Freshworks was founded in 2010, giving it over a decade of experience and a mature product portfolio, including established products like Freshdesk and Freshservice.

Team Structure:

  • The role likely sits within a dedicated UX/Product Design team, potentially structured around product lines or strategic initiatives like AI.

  • Designers typically report to a Design Lead or Head of Design, with close daily collaboration with Product Managers, Engineering Leads, and Data Scientists.

Methodology:

  • Freshworks emphasizes a "fresh vision" and "uncomplicated software," suggesting a culture that values innovation, simplicity, and user-centricity.

  • The focus on AI indicates a commitment to leveraging advanced technologies to solve business problems and enhance user experiences.

  • Expect a methodology that blends agile development practices with a strong emphasis on user research and iterative design, especially for new AI features.

Company Website: Freshworks Company Website

📝 Enhancement Note: Freshworks positions itself as a refreshing alternative in the business software market, focusing on simplicity and exceptional experiences. The company's growth and investment in AI suggest a dynamic environment that values innovation and practical application of technology.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer represents a senior individual contributor role. It signifies a designer who not only excels in execution but also influences strategy, mentors junior designers, and drives the design direction for complex or critical product areas, such as AI experiences. This level typically involves leading design initiatives, setting design standards, and having a significant impact on product success.

Reporting Structure:

  • The Staff Product Designer will likely report to a Design Manager or Head of Design within the Product organization.

Operations Impact:

  • This role directly impacts the company's ability to deliver innovative and competitive AI-powered SaaS solutions.

  • By designing intuitive and trustworthy AI experiences, the Staff Product Designer will influence customer adoption, satisfaction, and retention, thereby contributing to Freshworks' revenue growth and market positioning.

Growth Opportunities:

  • Leadership in AI Design: Opportunity to become a recognized leader and expert in designing AI experiences within the company, potentially leading design efforts for future AI initiatives.

  • Mentorship: Potential to mentor and guide junior designers, contributing to their growth and the overall design team's capabilities.

  • Strategic Influence: Influence the long-term product roadmap and AI strategy by contributing design insights and advocating for user needs.

  • Skill Specialization: Deepen expertise in cutting-edge areas like generative AI, human-AI interaction, and ethical AI design.

  • Career Progression: Potential to move into Principal Product Designer roles, Design Management, or specialized AI/UX leadership positions.

📝 Enhancement Note: The "Staff" title indicates a senior, influential role. Growth opportunities are geared towards deepening AI design expertise, strategic impact, and potential leadership within the design organization, aligning with the company's focus on AI innovation.

🌐 Work Environment

Office Type: Freshworks operates with a hybrid work model, though this specific role is listed as "On-site" in Bengaluru. This suggests a collaborative office environment where in-person interaction is valued for brainstorming, team cohesion, and strategic alignment.

Office Location(s): Bengaluru, India. Freshworks has a significant presence in Bengaluru, likely offering a modern workspace designed to foster collaboration and innovation.

Workspace Context:

  • The workspace is expected to be modern and equipped with the necessary tools for design, collaboration, and communication.

  • Opportunities for regular interaction with cross-functional teams (Product, Engineering, Data Science) will be frequent, fostering a dynamic and collaborative atmosphere.

Work Schedule:

  • The role is full-time, with an emphasis on on-site presence. Standard working hours will apply, with the expectation of flexibility to accommodate project deadlines and cross-time zone collaboration if necessary, though the primary location is Bengaluru.

📝 Enhancement Note: The "On-site" designation for Bengaluru indicates a preference for in-person collaboration, which is often beneficial for complex, strategic roles like Staff Product Designer, especially when working with cutting-edge technology like AI.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter will review your application and portfolio to assess alignment with the role's requirements, particularly AI design experience.

  • Hiring Manager Interview: A discussion with the hiring manager (likely a Design Lead or Head of Design) to delve deeper into your experience, design philosophy, and fit with the team.

  • Design Portfolio Presentation: A dedicated session where you present 2-3 key case studies from your portfolio, focusing on your process, challenges, solutions, and impact, especially concerning AI products. Be prepared to discuss your approach to human-centered AI and ethical considerations.

  • Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and Data Scientists to evaluate your collaboration skills, technical fluency in AI/ML, and ability to work effectively in a cross-functional team.

  • Design Exercise (Potential): You may be given a take-home assignment or a live whiteboarding session to assess your problem-solving skills and design thinking applied to an AI-related challenge.

  • Final Round: Possibly an interview with a senior leader or executive to assess strategic thinking and cultural fit.

Portfolio Review Tips:

  • Highlight AI Expertise: Ensure your portfolio prominently features case studies demonstrating your hands-on experience with AI/ML products, generative AI, or conversational AI. Quantify impact wherever possible.

  • Showcase Process: Clearly articulate your design process for each case study, emphasizing how you tackled the unique challenges of designing for AI (e.g., explainability, user control, ethical considerations).

  • Focus on Collaboration: Be ready to discuss how you collaborated with Product, Engineering, and Data Science teams to bring AI features to life.

  • Tailor to Freshworks: Research Freshworks' product suite (Freshdesk, Freshservice) and their AI initiatives. Frame your examples in a way that shows how your skills align with their needs.

  • Prepare for "Why AI?": Be ready to articulate your passion and perspective on designing for AI and its future impact.

Challenge Preparation:

  • AI-Specific Scenarios: Anticipate design challenges related to AI explainability, managing user expectations of AI capabilities, designing for AI errors, or integrating generative AI into existing workflows.

  • Systems Thinking: Practice thinking about how AI features integrate into a larger product ecosystem and impact various user types.

  • Ethical Considerations: Be prepared to discuss how you approach ethical considerations in AI design, such as bias, fairness, and transparency.

📝 Enhancement Note: The interview process is designed to thoroughly assess not only design skills but also specialized AI expertise, collaboration capabilities, and strategic thinking. A strong, AI-focused portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP (for advanced prototyping).

  • Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack.

  • User Research & Testing: UserTesting.com, Lookback, Hotjar, Maze.

Analytics & Reporting:

  • Familiarity with product analytics tools (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and AI feature adoption.

CRM & Automation:

  • While not a direct user, understanding of CRM systems (like Salesforce, or Freshworks' own CRM offerings) and automation workflows could be beneficial for context, as AI features often integrate into these systems.

📝 Enhancement Note: Proficiency in industry-standard design and prototyping tools is expected. Experience with tools that facilitate collaboration and user research is also crucial. Understanding product analytics will be key to measuring the success of AI-driven designs.

👥 Team Culture & Values

Operations Values:

  • Customer-Centricity: A deep commitment to understanding and serving customer needs through innovative solutions.

  • Simplicity & Ease of Use: A drive to create uncomplicated, powerful software that is intuitive and efficient.

  • Innovation & Experimentation: Encouraging new ideas, rapid prototyping, and learning from failures, especially in the AI space.

  • Collaboration & Teamwork: Fostering an environment where cross-functional teams work together effectively to achieve common goals.

  • Impact & Results: Focusing on delivering tangible value and measurable outcomes for customers and the business.

Collaboration Style:

  • Cross-Functional Integration: Expect a highly collaborative environment where designers work hand-in-hand with Product Managers, Engineers, and Data Scientists from ideation through launch.

  • Open Communication: A culture that encourages open feedback, constructive critique, and transparent communication across teams.

  • Agile & Iterative: Working within agile frameworks, emphasizing iterative design, continuous feedback loops, and adaptability to changing requirements.

📝 Enhancement Note: Freshworks' stated values of "fresh vision" and "uncomplicated software" translate into a culture that likely champions innovation, user focus, and efficient execution. The emphasis on AI suggests a forward-thinking team eager to explore new possibilities.

⚡ Challenges & Growth Opportunities

Challenges:

  • Designing for Ambiguity: The AI landscape is rapidly evolving, requiring designers to navigate uncertainty, define new interaction paradigms, and adapt quickly to emerging technologies and best practices.

  • Balancing Complexity with Simplicity: Making sophisticated AI capabilities accessible and understandable to a broad user base without oversimplifying or misrepresenting their function.

  • Building Trust in AI: Designing AI experiences that are transparent, explainable, and reliable to foster user trust and encourage adoption, especially in critical business workflows.

  • Cross-Functional Alignment: Ensuring consistent AI UX strategy and execution across multiple product teams and stakeholders with potentially diverse priorities.

Learning & Development Opportunities:

  • Cutting-Edge AI Design: Immersion in designing with the latest AI technologies (LLMs, Generative AI), providing unparalleled opportunities for skill development in a high-demand field.

  • Industry Conferences & Training: Access to resources for attending AI and UX conferences, workshops, and online courses to stay abreast of industry trends.

  • Mentorship Program: Potential to be mentored by senior design leaders or to mentor junior designers, enhancing leadership and communication skills.

  • Impactful Projects: Opportunity to work on high-visibility projects that have a direct impact on Freshworks' product strategy and market position in AI.

📝 Enhancement Note: The challenges presented are inherent to working with advanced AI technologies and highlight the need for adaptability, strategic thinking, and a strong user advocacy. Growth opportunities are tied to developing specialized expertise in a critical and evolving domain.

💡 Interview Preparation

Strategy Questions:

  • "How would you approach developing a UX strategy for integrating generative AI into a customer service platform like Freshdesk?"

  • "Describe a time you had to design for a complex, data-driven system. What were the challenges, and how did you ensure a user-friendly experience?"

  • "How do you ensure AI features are transparent and explainable to users who may not be technically savvy?"

  • "What are your thoughts on ethical considerations in AI design, and how do you incorporate them into your process?"

Company & Culture Questions:

  • "What excites you about Freshworks' mission and its approach to 'uncomplicated software'?"

  • "How do you see AI transforming the customer experience (CX) and employee experience (EX) in the next 3-5 years?"

  • "Describe a situation where you had to influence stakeholders with a design decision they initially disagreed with."

Portfolio Presentation Strategy:

  • Structure: For each case study, follow a clear narrative: Problem/Opportunity -> Your Role -> Process & Decisions -> Challenges -> Solution -> Impact & Metrics.

  • AI Focus: Explicitly call out the AI components of your projects, the specific AI technologies used (if known), and how you addressed AI-specific design challenges.

  • Quantify Impact: Use data and metrics to demonstrate the success of your designs. If exact numbers aren't available, use qualitative insights backed by user feedback.

  • Showcase Collaboration: Mention how you worked with other teams and how their input influenced your design.

  • Be Ready for Deep Dives: Prepare to answer detailed questions about your design choices, trade-offs, and the underlying reasoning.

📝 Enhancement Note: Interview preparation should focus on showcasing a strong understanding of AI's potential and challenges, your ability to translate complex technology into user-friendly experiences, and your collaborative spirit. The portfolio presentation is a critical component for demonstrating this expertise.

📌 Application Steps

To apply for this Staff Product Designer position:

  • Submit your application through the Freshworks careers portal.

  • Portfolio Customization: Ensure your resume and portfolio are tailored to highlight your AI/ML product design experience, B2B SaaS background, and skills in human-centered AI, generative AI, and conversational design. Prioritize case studies that demonstrate tangible impact.

  • Resume Optimization: Use keywords from the job description such as "Staff Product Designer," "AI Experiences," "Human-Centered Design," "Generative AI," "LLMs," "B2B SaaS," "UX Strategy," and "Stakeholder Management."

  • Interview Preparation: Thoroughly research Freshworks, their product suite, and their AI initiatives. Practice articulating your design process and presenting your portfolio case studies, focusing on AI-specific challenges and solutions.

  • Company Research: Understand Freshworks' mission, values, and market position. Be prepared to discuss how your design philosophy aligns with their "fresh vision" and commitment to uncomplicated software.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Candidates must have 7+ years of product design experience, ideally in B2B SaaS, with required hands-on experience designing and shipping AI-powered products leveraging LLMs or generative AI. A solid understanding of AI/ML fundamentals and strong collaboration skills across product and engineering teams are essential.